Indicator & crowding distance-based evolutionary algorithm for combined heat and power economic emission dispatch-Reference-Cited by-同舟云学术

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Indicator & crowding distance-based evolutionary algorithm for combined heat and power economic emission dispatch

Published:2020-05 Issue: Volume:90 Page:106158
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Sun Jiaze,Deng Jiahui,Li Yang^ORCID

Funder

National Natural Science Foundation of China

Key Discipline Construction of General Institutions of Higher Learning from Shaanxi Province

Industrial Research Project of Xi’an

Innovation Fund of Xi’an University of Posts and Telecommunications

Publisher

Elsevier BV

Subject

Software

Reference36 articles.

1. Grey wolf optimization for combined heat and power dispatch with cogeneration systems;Jayakumar;Int. J. Electr. Power Energy Syst.,2016

2. Material-flow analysis, energy analysis, and partial environmental-LCA of a district-heating combined heat and power plant in Sweden;Karlsson;Energy,2018

3. Multi-objective combined heat and power unit commitment using particle swarm optimization;Anand;Energy,2019

4. Group search optimization for combined heat and power economic dispatch;Basu;Int. J. Electr. Power Energy Syst.,2016

5. A comprehensive review of heuristic optimization algorithms for optimal combined heat and power dispatch from economic and environmental perspectives;Nazari-Heris;Renew. Sustain. Energy Rev.,2018

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